PI Lecture

Reward-based Learning and Decision Making under Risk Reinforcement learning provides a framework for making agents learn policies through feedback signals (“rewards”), which provide information about whether their actions or action sequences were successful or not. Reinforcement learning also provides a framework for understanding how humans learn and decide given reward information only. Standard reinforcement learning

Abstract: I would like to give a personal perspective of the scientific motivation and framing of SCIoI and relate them to the research of my lab, the Robotics and Biology Laboratory. But at the same time, I would like to critically question and discuss all of these things, in an attempt to move towards a